Bny Mellon High Etf Probability of Future Etf Price Finishing Over 2.63
| DHF Etf | USD 2.65 0.01 0.38% |
BNY |
BNY Mellon Target Price Odds to finish over 2.63
The tendency of BNY Etf price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to stay above $ 2.63 in 90 days |
| 2.65 | 90 days | 2.63 | about 8.2 |
Based on a normal probability distribution, the odds of BNY Mellon to stay above $ 2.63 in 90 days from now is about 8.2 (This BNY Mellon High probability density function shows the probability of BNY Etf to fall within a particular range of prices over 90 days) . Probability of BNY Mellon High price to stay between $ 2.63 and its current price of $2.65 at the end of the 90-day period is nearly 4.52 .
Considering the 90-day investment horizon BNY Mellon has a beta of 0.24 suggesting as returns on the market go up, BNY Mellon average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding BNY Mellon High will be expected to be much smaller as well. Additionally BNY Mellon High has an alpha of 0.0654, implying that it can generate a 0.0654 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). BNY Mellon Price Density |
| Price |
Predictive Modules for BNY Mellon
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as BNY Mellon High. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.BNY Mellon Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. BNY Mellon is not an exception. The market had few large corrections towards the BNY Mellon's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold BNY Mellon High, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of BNY Mellon within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.07 | |
β | Beta against Dow Jones | 0.24 | |
σ | Overall volatility | 0.05 | |
Ir | Information ratio | -0.03 |
BNY Mellon Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of BNY Mellon for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for BNY Mellon High can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| The company reported the last year's revenue of 21.28 M. Reported Net Loss for the year was (308.72 K) with profit before taxes, overhead, and interest of 21.28 M. | |
| Latest headline from MacroaxisInsider: Disposition of tradable shares by Cronk Kevin L. of BNY Mellon subject to Rule 16b-3 |
BNY Mellon Technical Analysis
BNY Mellon's future price can be derived by breaking down and analyzing its technical indicators over time. BNY Etf technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of BNY Mellon High. In general, you should focus on analyzing BNY Etf price patterns and their correlations with different microeconomic environments and drivers.
BNY Mellon Predictive Forecast Models
BNY Mellon's time-series forecasting models is one of many BNY Mellon's etf analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary BNY Mellon's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the etf market movement and maximize returns from investment trading.
Things to note about BNY Mellon High
Checking the ongoing alerts about BNY Mellon for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for BNY Mellon High help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| The company reported the last year's revenue of 21.28 M. Reported Net Loss for the year was (308.72 K) with profit before taxes, overhead, and interest of 21.28 M. | |
| Latest headline from MacroaxisInsider: Disposition of tradable shares by Cronk Kevin L. of BNY Mellon subject to Rule 16b-3 |
Check out BNY Mellon Backtesting, Portfolio Optimization, BNY Mellon Correlation, BNY Mellon Hype Analysis, BNY Mellon Volatility, BNY Mellon History as well as BNY Mellon Performance. You can also try the Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
The market value of BNY Mellon High is measured differently than its book value, which is the value of BNY that is recorded on the company's balance sheet. Investors also form their own opinion of BNY Mellon's value that differs from its market value or its book value, called intrinsic value, which is BNY Mellon's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because BNY Mellon's market value can be influenced by many factors that don't directly affect BNY Mellon's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between BNY Mellon's value and its price as these two are different measures arrived at by different means. Investors typically determine if BNY Mellon is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, BNY Mellon's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.